Assignments of the course as title in Q3 at TU/e

What I did are all shown in the .ipynb file in each assignment folder

1st assignment

Build up a multi-layer perceptron from scratch in python

2nd assignment

Build up a CNN model by Barebone Pytorch, Pytorch Module API, and Pytorch Sequential API.
Besides, apply Image Retrieval with Neural Codes on CIFAR-10 dataset.

3rd assignment

Paper presentation - EfficientNet - Rethinking Model Scaling for Convolutional Neural Networks

Final assignment

Take Unet as a baseline model for segmentation on Cityscape dataset and improve the accuracy by applying data augmentation, hyperparameters tuning, and architecture changing.